Our results demonstrate improvements and set new standards on both ICDAR13 and CVL datasets. However, there is still room for improvement in various directions. The preprocessing step could be investigated in more detail. Also, deep learning-based approaches other than NetVLAD such as DeepTen [1]} may worth investigating. On the other hand, we have used the NetVLAD layer to extract embeddings but employing it to directly learn global image descriptors could also be beneficial. Finally, historical data are getting more and more attention in recent years, so for future works, the application of the proposed pipeline on historical data must be researched.
